/*
 * Copyright (c) Huawei Technologies Co., Ltd. 2024-2024. All rights reserved.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

#ifndef TENSORFLOW_UTILS_PROFILER_H_
#define TENSORFLOW_UTILS_PROFILER_H_
#include "acl/acl_prof.h"
#include <string>
#include "tensorflow/core/platform/mutex.h"
#include "tensorflow/core/lib/core/status.h"

namespace tensorflow {
  class Profiler {
   public:
    static Profiler &GetInstance();
    Status Enable(const std::string &level,
        const std::string &aic_metrics, const std::string &output_path);
    Status Start();
    Status Stop();
    void Disable();
    bool IsEnabled() { return enable_flag_; }
   private:
    Profiler() = default;
    explicit Profiler(const Profiler &obj) = delete;
    Profiler& operator=(const Profiler &obj) = delete;
    explicit Profiler(Profiler &&obj) = delete;
    Profiler& operator=(Profiler &&obj) = delete;
    Status GetLevel(const std::string &level);
    Status GetAicMetrics(const std::string &aic_metrics);
    aclprofConfig *prof_config_{nullptr};
    uint64_t level_{0UL};
    aclprofAicoreMetrics aic_metrics_{ACL_AICORE_NONE};
    bool enable_flag_{false};
    bool has_start_{false};
    std::string output_path_;
  };
}

#endif